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Quantifying and Estimating the Green Shade Cover and Sky View Cover in the…
Quantifying and Estimating the Green Shade Cover and Sky View Cover in the Urban Areas
Future Work
A Bicycle-Based Field Measurement System for pedestrian routes
Estimating the distribution of sunlight by calculating the sun path overtime on the GSV Images
Devise a routing algorithm for pedestrian routes
Problem
Too much sunlight exposure
Short- and long-term consequences for health and well-being
Unprotected exposure to Ultraviolet (UV) radiation
Major risk factors for skin cancer
Global Warming
Increasing temperature in urban areas
Heat Stress on the Pedestrian Route
Data Collection
Google Street View Images
Mapillary Image Source
Data Processing and workflow
Combining the Google Street View Images to form Panaroma
GSV panoramas into categories of the sky, trees, and buildings
Building View
: The visible sky blocked by the buildings in urban area.
Tree View
:The amount of shade provided by the trees.
Sky View
: The amount of sky visible to the pedestrian in the urban areas.
Strategy
Developing a fully scalable to other geographic location
Segment the images to extract vegetation using the machine learning algorithims
Deep convolutional neural network-based image segmentation algorithm PSPNet
Design routing algorithm minimizing pedestrian’s outdoor sunlight exposure